Introduction: The viral infection COVID-19 is highly infectious and has claimed many lives till date and is still continuing to consume lives. In the COVID-19, along with pulmonary symptoms, cardiovascular (CV) events were also recorded that have known to significantly contribute to the mortality. In our study, we designed and validated a new risk score that can predict CV events, and also evaluated the effect of these complications on the prognosis in COVID-19 patients.
Materials and Methods: A retrospective, multicenter, observational study was done among 1000 laboratory-confirmed COVID-19 patients between June 2020 and December 2020. All the data of the clinical and laboratory parameters were collected. Patients were randomly divided into two groups for testing and validating the hypothesis. The identification of the independent risk factors was done by the logistic regression analysis method.
Results: Of all the types of the clinical and laboratory parameters, ten "independent risk factors" were identified associated with CV events in Group A: male gender, older age, chronic heart disease, cough, lymphocyte count <1.1 × 109/L at admission, blood urea nitrogen >7 mmol/L at admission, estimated glomerular filtration rate <90 ml/min/1.73 m2 at admission, activated partial thromboplastin time >37 S, D-dimer, and procalcitonin >0.5 mg/L. In our study, we found that CV events were significantly related with inferior prognosis (P < 0.001).
Conclusions: A new risk scoring system was designed in our study, which may be used as a predictive tool for CV complications among the patients with COVID-19 infection.
* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.